Full text: Fusion of sensor data, knowledge sources and algorithms for extraction and classification of topographic objects

International Archives of Photogrammetry and Remote Sensing, Vol. 32, Part 7-4-3 W6, Valladolid, Spain, 3-4 June, 1999 
Technical Session 5: FUSION OF VARIABLE SPATIAL / SPECTRAL RESOLUTION IMAGES 
• Adaptive fusion of multisource raster data applying filter techniques 
STEINNOCHER Klaus T. (Austrian Research Centers, Seibersdorf, Austria) 108 
• Fusion of 18m MOMS-2P and 30m Landsat TM multispectral data by the generalised Laplacian pyramid 
AIAZZI Bruno (Italian National Research Council, Florence, Italy), ALPARONE Luciano (Univ. of 
Florence, Italy), BARONTI Stefano, PIPPI Ivan (Italian National Research Council, Florence, Italy) 116 
• Operational applications of multi-sensor image fusion 
POHL Christine (ITC, Enschede, The Netherlands), TOURON Hervé (Western European Union Satellite 
Centre, Madrid, Spain) 123 
Technical Session 6: INTEGRATION OF IMAGE ANALYSIS AND GIS 
• Knowledge based interpretation of multisensor and multitemporal remote sensing images 
GROWE Stefan (Univ. of Hannover, Germany) 130 
• Automatic reconstruction of roofs from maps and elevation data 
STILLA Uwe, JURKIEWICZ Klaus (Research Inst, of Optronics and Pattern Recognition, 
Ettlingen, Germany) 139 
• Investigation of synergy effects between satellite imagery and digital topographic databases 
by using integrated knowledge processing 
KUNZ Dietmar (Univ. of Karlsruhe, Germany) 144 
Interactive Session 1: IMAGE CLASSIFICATION 
• An automated approach for training data selection within an integrated GIS and Remote Sensing 
environment for monitoring temporal changes 
RHEIN Ulrich (Univ. of Vechta, Germany) ; 154 
• Classification of settlement structures using morphological and spectral features 
in fused high resolution satellite images (IRS-1 C) 
NETZBAND Maik, MEINEL Gotthard, LIPPOLD Regin (Institute for Ecological and Regional Development 
Dresden, Germany) 160 
• Assessment of noise variance and information content of multi- / hyper-spectral imagery 
AIAZZI Bruno (Italian National Research Council, Florence, Italy), ALPARONE Luciano (Univ. of Florence, 
Italy), BARDUCCI Alessandro, BARONTI Stefano, PIPPI Ivan (Italian National Research Council, 
Florence, Italy) 167 
• Combining spectral and textural features for multispectral image classification with 
artificial neural networks 
HE Hongchang, COLLET Claude (Univ. of Fribourg, Switzerland) 175 
Technical Session 7: APPLICATIONS IN FORESTRY 
• Sensor fused images for visual interpretation of forest stand borders 
FRITZ Roland, FRECH Iris, KOCH Barbara, UEFFING Christoph (Univ. of Freiburg, Germany) 184 
• A local correlation approach for the fusion of remote sensing data with different spatial resolutions 
in forestry applications 
HILL Joachim, DIEMER Claudius, STOVER Olaf, UDELHOVEN Thomas (Univ. of Trier, Germany) 191 
• Object-based classification and applications in the Alpine forest environment 
DE КОК Roeland, SCHNEIDER Thomas, AMMER Ulrich (Univ. of Munich, Germany) 199 
Author Index 207 
Keyword Index 208
	        
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